MLOps Engineer (Machine Learning, MLFlow, Kubernetes, DVC)

Your responsibilities, Ensuring that machine learning models are efficiently deployed and maintained in the environments;, Automating deployment of machine learning models to environments, updates;, Implementing CI/CD pipelines for ML Models;, Setting up monitoring and logging for ML Models;, Optimizing ML Models. What we offer, Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card., Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings., Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details., Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI.